DSpace Community: http://dspace.bsuedu.ru/handle/123456789/62349 2026-04-05T18:08:09Z Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification http://dspace.bsuedu.ru/handle/123456789/65242 Title: Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification Authors: Shurykina, L. S.; Latukhina, E. A.; Petrova, T. V. Abstract: The aim of this paper is to develop a dialect words classifier, which can be used to identify dialect words within a given text and categorize them into one of the predefined groups. The article describes the development of a neural network for dialect words identification and classification 2024-01-01T00:00:00Z Combining the tasks of entity linking and relation extraction using a unified neural network model http://dspace.bsuedu.ru/handle/123456789/65241 Title: Combining the tasks of entity linking and relation extraction using a unified neural network model Authors: Sboev, A. G.; Gryaznov, A. V. Abstract: In this paper we describe methods for training neural network models for extracting pharmacologically significant entities from natural language texts with their further transformation into a formalized form of thesauruses and specialized dictionaries, as well as establishing relations between them 2024-01-01T00:00:00Z Artificial vs human intelligence: a case study of translating jokes based on wordplay http://dspace.bsuedu.ru/handle/123456789/65240 Title: Artificial vs human intelligence: a case study of translating jokes based on wordplay Authors: Rudenko, E. S.; Semenova, M. Yu. Abstract: Artificial intelligence technologies used in professional translation question the effectiveness of human-AI interaction. The study necessitates an objective assessment of the neural machine translation naturalness, which will apply prompt engineering to optimize the translation process, save resources, and ensure the sustainable development of super-central and central natural languages of the world 2024-01-01T00:00:00Z Writing in the era of large language models: a bibliometric analysis of research field http://dspace.bsuedu.ru/handle/123456789/65239 Title: Writing in the era of large language models: a bibliometric analysis of research field Authors: Litvinova, T. A.; Mikros, G. K.; Dekhnich, O. V. Abstract: This editorial paper aims to conduct a bibliometric analysis of the interdisciplinary research field concerning various aspects of writing in the context of LLMs. A search was conducted in the bibliographic database Scopus in December 2024 using the following query: ("large language model" OR "LLM" OR "GPT") AND "writing" 2024-01-01T00:00:00Z